If I understand you correctly, the easiest thing to do is import the
data without converting the strings to factors (the default behavior)
using:
mydata <- read.table("mydata.csv", as.is=TRUE)
If that isn't actually your problem, the output of
str(mydata)
would be helpful, as would an actual example of what
you are trying to do.
Sarah
On Wed, Mar 2, 2011 at 8:43 AM, SK MAIDUL HAQUE <skmaidulhaque at gmail.com> wrote:
> I have a text file that I have imported into R. It contains 3 columns and
> 316940 rows. The first column is vegetation plot ID, the second species
> names and the third is a cover value (numeric). I imported using the
> read.table function.
>> My problem is this. I need to reformat the information as a matrix, with the
> first column becoming the row labels and the second the column labels and
> the cover values as the matrix cell data. However, since the
> read.tablefunction imported the data as an indexed data frame, I can't use
> the columns
> as vectors. Is there a way around this, to convert the data frame as 3
> separate vectors? I have been looking all over for a function, and my
> programming skills are not great.
>>> --
> Sk Maidul Haque
> Scientific Officer-C
> Applied Spectroscopy Division
> Bhabha Atomic Research Centre, Vizag
>> Mo: 09666429050/09093458503
>--
Sarah Goslee
http://www.functionaldiversity.org